Sheng Liu

183 total papers · 4.2k total citations
111 papers, 2.4k citations indexed

About

Sheng Liu is a scholar working on Molecular Biology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Sheng Liu has authored 111 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 21 papers in Cognitive Neuroscience and 19 papers in Neurology. Recurrent topics in Sheng Liu's work include Visual perception and processing mechanisms (12 papers), Single-cell and spatial transcriptomics (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Sheng Liu is often cited by papers focused on Visual perception and processing mechanisms (12 papers), Single-cell and spatial transcriptomics (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Sheng Liu collaborates with scholars based in China, United States and United Kingdom. Sheng Liu's co-authors include Dora E. Angelaki, Gregory C. DeAngelis, Fan‐Gang Zeng, Yong Gu, Yun Yang, Christopher R. Fetsch, Xaq Pitkow, Alexandre Pouget, Zengwu Shao and Hui Lin and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sheng Liu

107 papers receiving 2.3k citations

Hit Papers

HIF1A Alleviates compress... 2021 2026 2022 2024 2021 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sheng Liu 704 677 291 270 219 111 2.4k
Tsuyoshi Inoue 248 0.4× 917 1.4× 464 1.6× 419 1.6× 203 0.9× 75 2.4k
Hongyu Zhang 356 0.5× 618 0.9× 189 0.6× 356 1.3× 109 0.5× 43 1.7k
Xiao Chang 275 0.4× 1.1k 1.6× 102 0.4× 160 0.6× 169 0.8× 124 2.5k
Emmanuel Fournier 397 0.6× 1.3k 2.0× 316 1.1× 971 3.6× 89 0.4× 109 3.2k
Naomi Shimizu 400 0.6× 440 0.6× 120 0.4× 118 0.4× 131 0.6× 100 2.4k
Carlos Barcia 310 0.4× 842 1.2× 618 2.1× 586 2.2× 172 0.8× 75 2.8k
M. Igarashi 501 0.7× 815 1.2× 655 2.3× 115 0.4× 195 0.9× 114 2.8k
Yoshiyuki Kuroiwa 280 0.4× 469 0.7× 178 0.6× 313 1.2× 133 0.6× 112 1.7k
Li Lu 797 1.1× 1.2k 1.8× 126 0.4× 846 3.1× 155 0.7× 106 3.0k
Daniel Bodmer 484 0.7× 757 1.1× 370 1.3× 268 1.0× 248 1.1× 106 2.3k

Countries citing papers authored by Sheng Liu

Since Specialization
Citations

This map shows the geographic impact of Sheng Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Liu more than expected).

Fields of papers citing papers by Sheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sheng Liu. The network helps show where Sheng Liu may publish in the future.

Co-authorship network of co-authors of Sheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Liu. A scholar is included among the top collaborators of Sheng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheng Liu. Sheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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